Monisaa Tharani S K

• Working under Global Strategic Sourcing team in finding the best tech talent in US and EMEA market.

• Partner with hiring teams to build effective sourcing, assessment, and closing approaches with an ability to manage Business expectations through a deep understanding of return on investment.

• Contribute to developing strategies related to recruitment that will contribute to the long-range growth, implement new processes and develop standard operating procedures.
• Build and maintain network of potential candidates through pro-active market research and source through various platforms like LinkedIn, Hire EZ and Internal tools.

• conducts in-depth interviews of potential candidates, demonstrating ability to anticipate hiring manager preferences through high offer-to-interview ratios.

• Involved in end to end recruitment from building pipeline to offer release.
• Recommend ideas and strategies related to recruitment that will contribute to the long-range growth of the company, implementing any new processes and fine tuning standard processes for recruiting that fits within Amazon's mission to deliver the highest quality results to the customer.
• Articulate in writing a plan with deliverables, timelines and a formal tracking process.
• Possess strong ability to screen and prepare a candidate slate within an appropriate and consistent timeline.
• Participate in recruiting initiatives and brainstorming sessions with leaders including assessment of best practices in interviewing techniques, leveraging of internal sources of talent and identification of top performers form junior to senior-level openin

• Collaborate with cross-functional teams to deliver a pipeline of both external candidates

• Been involved in coaching new buddies and training co-team members to achieve their key metrics and goals in Amazon

Bringing insights for the development of sales using Tableau. working on designing, implementing and managing persistent data stores for high-traffic transactional systems. Implement data mining system based on customer needs and industry trends. Validate various data pulls for accuracy and completeness. Analyze various data sources to discover fraud patterns and security breaches. Provide technical guidance to team on data mining processes.